Relevant bibliographies by topics / Assessment bias

Academic literature on the topic 'Assessment bias'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Assessment bias"

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McClintock, Adelaide H., Tyra Fainstad, Joshua Jauregui, and Lalena M. Yarris. "Countering Bias in Assessment." Journal of Graduate Medical Education 13, no. 5 (October 1, 2021): 725–26. http://dx.doi.org/10.4300/jgme-d-21-00722.1.

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Taylor, Ronald L. "Bias in Cognitive Assessment." Diagnostique 17, no. 1 (October 1991): 3–5. http://dx.doi.org/10.1177/153450849101700101.

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Reschly, Daniel J. "Bias in Cognitive Assessment." Diagnostique 17, no. 1 (October 1991): 86–90. http://dx.doi.org/10.1177/153450849101700108.

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Howell, Kenneth W., Susan S. Bigelow, Elizabeth L. Moore, and Ange M. Evoy. "Bias in Authentic Assessment." Diagnostique 19, no. 1 (October 1993): 387–400. http://dx.doi.org/10.1177/153450849301900105.

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Howell, Dennis G. "Political Bias Obscured Assessment." Journal - American Water Works Association 87, no. 5 (May 1995): 8. http://dx.doi.org/10.1002/j.1551-8833.1995.tb06354.x.

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Mahtani, Kamal, Elizabeth A. Spencer, Jon Brassey, and Carl Heneghan. "Catalogue of bias: observer bias." BMJ Evidence-Based Medicine 23, no. 1 (January 24, 2018): 23–24. http://dx.doi.org/10.1136/ebmed-2017-110884.

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This article is part of a series featured from the Catalogue of Bias introduced in this volume of BMJ Evidence-Based Medicine that describes biases and outlines their potential impact in research studies. Observer bias is systematic discrepancy from the truth during the process of observing and recording information for a study. Many healthcare observations are at risk of this bias. Evidence shows that treatment effect estimates can be exaggerated by a third to two-thirds in the presence of observer bias in outcome assessment. Preventing observer bias involves proper masking in intervention studies including the use of matched placebo interventions where appropriate and training of observers to make assessment consistent and reduce biases resulting from conscious or unconscious prejudices. Where observers are involved in a research study, it is probably not possible for the study to be entirely free of observer biases.
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Aggarwal, Swati, Tushar Sinha, Yash Kukreti, and Siddarth Shikhar. "Media bias detection and bias short term impact assessment." Array 6 (July 2020): 100025. http://dx.doi.org/10.1016/j.array.2020.100025.

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Bytzer, Peter. "Information Bias in Endoscopic Assessment." American Journal of Gastroenterology 102, no. 8 (August 2007): 1585–87. http://dx.doi.org/10.1111/j.1572-0241.2006.00911.x.

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Chernin, Jeffrey, Janice Miner Holden, and Cynthia Chandler. "Bias in Psychological Assessment: Heterosexism." Measurement and Evaluation in Counseling and Development 30, no. 2 (July 1, 1997): 68–76. http://dx.doi.org/10.1080/07481756.1997.12068922.

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Campbell, Thomas, Chris Dollaghan, Herbert Needleman, and Janine Janosky. "Reducing Bias in Language Assessment." Journal of Speech, Language, and Hearing Research 40, no. 3 (June 1997): 519–25. http://dx.doi.org/10.1044/jslhr.4003.519.

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One potential solution to the problem of eliminating bias in language assessment is to identify valid measures that are not affected by subjects' prior knowledge or experience. In this study, 156 randomly selected school-age boys (31% majority; 69% minority) participated in three “processing-dependent” language measures, designed to minimize the contributions of prior knowledge on performance, and one traditional “knowledge-dependent” language test. As expected, minority subjects obtained significantly lower scores than majority participants on the knowledge-dependent test, but the groups did not differ on any of the processingdependent measures. These results suggest that processing-dependent measures hold considerable promise for distinguishing between children with language disorders, whose poor language performance reflects fundamental psycholinguistic deficits, and children with language differences attributable to differing experiential backgrounds.
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Dissertations / Theses on the topic "Assessment bias"

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Ataya, Alia. "Assessment of cognitive bias in social alcohol users." Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555655.

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Aims: The presence of cognitive bias towards drug-related cues is thought to play a pivotal role in the maintenance of substance use related psychopathologies. The aims of this thesis were to investigate 1) the presence of cognitive bias; 2) the effects of acute alcohol consumption (0.0 g/kg, 0.13 g/kg, 0.40 glkg) on the presence of cognitive bias; 3) whether lexical or pictorial cues are more effective in eliciting cognitive bias 4) whether the pictorial cue (active, passive) employed influences the presence of cognitive bias; 5) the psychometric properties of cognitive bias measurements (modified Stroop task, visual probe task). Methods: Healthy, heavier and lighter social alcohol users (n = 412) were examined in a series of between-and-within subjects designs examining the presence of cognitive bias among social alcohol users. Results: A priming dose of alcohol influences the presence of cognitive bias on the modified Stroop task but not on the visual probe task contradictory to prior research. Cognitive bias was observed among passive stimuli in the pictorial version of the modified Stroop task only; tentatively suggesting that the presence of cognitive bias varies according to task (modified Stroop task, visual probe task), stimuli (lexical, pictorial) and pictorial cue (active, passive). Our data are also the first to indicate that the modified Stroop task is preferable to the visual probe task as a measure of alcohol-related cognitive bias, on the basis of its psychometric properties. Conclusions: Our data suggest the presence of cognitive bias varies according to the task employed (modified Stroop task, visual probe task), task design (presentation time, blocked or unblocked designs, and stimuli) and the psychometric properties of cognitive bias tasks (internal, test-retest reliability). Future research needs to focus on ensuring the construct validity of cognitive bias measurements. Studies using cognitive bias tasks should not assume they are reliable, and should routinely report reliability estimates where possible.
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Swafford, Marshall. "Assessment of references to agriculture in a middle grade science textbook." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4316.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 11, 2006) Includes bibliographical references.
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Hall, Ritchie V. II. "The Role of Racial Bias in Family Assessment Measures." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1243369253.

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Randall, Chelsea V. "An Assessment of Therapist Attitudes Toward Polyamorous People." Antioch University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1624528180682492.

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Mergelsberg, Enrique Laurent Paul. "An Investigation in Attention Bias Modification Training: Attention Bias Assessment, Acquisition and Change with the Dot-Probe Task." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/77426.

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Attention bias change can reduce anxiety vulnerability. The mechanisms that underlie attention bias assessment and training with the dot-probe task are unclear. This research project investigated the main stimulus-probe associative learning mechanism within the dot-probe task. It compared the attentional engagement and disengagement processes that underlie attention bias change using the dot-probe task and a gamified attention training task. The current work aids the understanding of successful attention bias assessment, acquisition and change.
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Dippenaar, Andre. "The Dangers of Speaking a Second Language: An Investigation of Lie Bias and Cognitive Load." Master's thesis, Faculty of Humanities, 2021. http://hdl.handle.net/11427/32623.

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Today's world is an interconnected global village. Communication and business transactions are increasingly conducted in non-native languages. Literature suggests that biases are present when communicating in non-native languages; that a truth bias is present in first language communication, and a lie bias in second language communication. Less than 10% of South Africa's population identifies with English, the lingua franca of the country, as a first language. Not much research in the presence of bias in second language communication has been published in the South African multi-lingual context. This study evaluated the presences of bias within deception frameworks such as the Truth Default State and the veracity effect. This study investigated whether deception detection can be improved by modifying the conditions under which statements are given by placing statement providers under cognitive load. The accuracy of veracity judgment language profiling software, LIWC2015, using published deception language profiles was compared against the results of the participating veracity judges. Results of the study were mixed. It was consistent with extant literature in a presence of a truth bias overall, but mixed in terms of a lie bias. The results supported the Truth Default Theory and veracity effect frameworks. LIWC2015 performed marginally better than human judges in evaluating veracity.
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Batistatou, Evridiki. "Optimal designs for cost-efficient assessment of exposure subject to measurement error." Thesis, University of Manchester, 2009. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:223498.

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In epidemiological studies of an exposure-response association, often only a mismeasured exposure is taken on each individual of the population under study. If ignored, exposure measurement error can bias the estimated exposure-response association in question. A reliability study may be carried out to estimate the relation between the mismeasured and true exposure, which could then be used to adjust for measurement error in the attenuated exposure-response relationship. However, taking repeated exposure measurements may be expensive. Given a fixed total study cost, a two-stage design may be a more efficient approach for regression parameter estimation compared to the traditional single-stage design since, in the second-stage, repeated measurement is restricted to a sample of first-stage subjects. Sampling the extremes of the first-stage exposure distribution has been shown to be more efficient than random sampling.
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Shaw, Pamela. "Estimation methods for Cox regression with nonclassical covariate measurement error /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/9544.

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De, Beer Este. "The influence of introversion/extraversion bias on leadership assessment with behaviour observation." Diss., University of Pretoria, 2011. http://hdl.handle.net/2263/23650.

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‘Survival of the fittest’ aptly describes the work environment. Employees and the organisations for which they work are therefore required to have various skills sets to afford them a competitive advantage in the job market. This is one of the many reasons why private and public organisations make use of the assessment center, and specifically the behaviour observation exercise to evaluate and select future personnel. Although the behaviour observation exercise provides the rater with rich information regarding a candidate’s skills, rater errors that are often inadvertent can result from a rater’s inherent subjectivity. One such error, central to this study, is Introversion/Extraversion bias. This type of bias plays out when raters rate candidates with personality types similar to their own more favorably than other candidates when the candidate’s degree of introversion or extraversion should not be considered relevant to the selection criteria. This study aims to explore the effect of Introversion/Extraversion bias on the scores of behaviour observation exercises performed during a leadership assessment center in a security environment. The sample consists of 103 participants (14 raters and 89 candidates) all belonging to the same security organisation. The researcher conducts a cross-sectional, non-experimental field study. Candidate as well as rater Introversion/Extraversion preferences are measured by the Jung Personality Questionnaire (JPQ). The scores of two behaviour observation exercises are used to explore the interaction effect between rater Introversion/Extraversion and candidate Introversion/Extraversion. Point-biserial correlations, independent t-tests as well as a one-way ANOVA are used to test the hypotheses. No interaction effect is identified between rater Introversion/Extraversion and candidate Introversion/Extraversion, indicating that raters did not score candidates with similar personality types to their own more favorably. However, the results indicate that extraverted candidates were rated higher by both introverted and extraverted raters and are consequently perceived to have performed better in both behaviour observation exercises. The study postulates that the nature of the exercises, which require high levels of engagement with fellow team members (a typical strength of extraverts), is one of the main contributors to the perception that extraverted individuals are better performers. The results of this study not only contribute to the lacuna in research on the topic, but also to the development of an unbiased behaviour observation exercise within this security organisation. Copyright 2011, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. Please cite as follows: De Beer, E 2011, The influence of introversion/extraversion bias on leadership assessment with behaviour observation, MCom dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-03302012-154446 / > C12/4/136/gm
Dissertation (MCom)--University of Pretoria, 2011.
Human Resource Management
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Rohrbacher, Heike. "Interpretation Bias in the Context of Depressed Mood: Assessment Strategies and the Role of Self-Generation in Cognitive Bias Modification." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-207298.

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Negatively biased interpretation has been hypothesized as an important factor in the aetiology and maintenance of depression. Recently developed cognitive bias modification paradigms, intending to change these biases towards a more optimistic interpretation tendency (CBM-I), seem to offer new promising implications for cognitive therapy innovation. Surprisingly, the increasing interest in the modifiability of interpretation bias is contrasted by a severe lack of methodological and measurement development studies. A review of current research revealed 1) a severe lack of psychometrically evaluated measures for depressionrelated interpretation bias and its modification, 2) inconsistent findings for the existence of depression-related interpretation bias depending on the (direct or indirect) assessment paradigm, 3) a demand for profound knowledge about the underlying work mechanisms and best ingredients for CBM-I procedures, and 4) a lack of measures and CBM-I training materials in the German language. With these considerations in mind, the objectives of this dissertation were 1) to develop and evaluate an internally consistent and valid measure for the assessment of depression-related interpretation bias and its modification, 2) to validate an indirect priming task to assess interpretation bias and to further examine the interrelations of four different direct and indirect assessment paradigms, 3) to evaluate a new and more active CBM-I variant and test its effectiveness in comparison with guided CBM-I and a control group, and 4) to provide valid test and CBM-I training materials in German. The aim of study 1 was to develop and evaluate a pragmatic assessment instrument, consisting of a 30-item questionnaire (long version) and two 15-item parallel short versions (A and B). Items were generated as ambiguous sentences, reflecting three relevant content areas based on Beck’s cognitive triad (Beck et al., 1979). All three versions of the instrument were found to be structurally stable, internally consistent and valid. In line with Beck’s cognitive triad (Beck et al., 1979) in depression, confirmatory factor analyses determined a three factor solution (self, experiences, future). Significant correlations were found between all scales and depressive mood. The two short versions represent the same underlying constructs, share identical psychometric properties and possess high parallel-test reliability. The study was the first to evaluate and confirm the factorial validity as well as the parallel-test reliability, and therefore suitability to measure modification of interpretation bias measure in the context of depressed mood. The aim of study 2 was to evaluate an indirect affective priming task using homophones as ambiguous material and to compare this task to three different already established interpretation bias paradigms, namely an ambiguous scenarios test, a scrambled sentences test under cognitive load, as well as a homophone paradigm. No empirical support for mood-related interpretation bias was found for the newly developed affective priming task as well as the homophone task, which both did not differentiate between dysphoric and non-dysphoric individuals. The ambiguous scenarios test and the scrambled sentences test under cognitive load were shown to be internally consistent and valid instruments that were also highly intercorrelated. These findings emphasize the challenge to create valid ambiguous test stimuli for the measure of depression-related interpretation bias as well as the inequality of different assessment paradigms. Study 2 was the first study to examine the relatedness of four different direct and indirect assessment paradigms for the measure of depression-related interpretation bias in one sample. The aim of study 3 was to compare the efficacy of CBM-I requiring participants to imagine standardized positive resolutions to a novel, more active training version that required participants to generate the positive interpretations themselves. Participants were randomly allocated to (1) standardized CBM-I, (2) self-generation CBM-I or (3) a control group. Outcome measures included self-report mood measures and a depression-related interpretation bias measure. Both positive training variants significantly increased the tendency to interpret fresh ambiguous material in an optimistic manner. However, only the standardized imagery CBM-I paradigm positively influenced mood. Study 3 successfully evaluated a new CBM-I variant, gained insights about the role of self-generation and added further support to the potential therapeutic significance of imagery-based cognitive bias modification strategies. Altogether, this dissertation significantly contributed to the research field of depressionrelated interpretation bias by 1) filling a gap in measure development studies, 2) increasing the knowledge of the relatedness of different assessment paradigms, 3) increasing the knowledge about the working mechanisms and optimal ingredients of successful CBM-I, and 4) evaluating and providing assessment as well as CBM-I training materials for the German language context
Ein negativer Interpretationsbias bezieht sich auf die Tendenz, mehrdeutige Reize (z.B. Situationen, Gesichtsausdrücke, Rückmeldung von anderen Personen) in einer pessimistischen Art und Weise zu interpretieren. Diese kognitive Verzerrung im Rahmen der Informationsverarbeitung wird als wichtiger Faktor für die Entstehung und Aufrechterhaltung von depressiven Störungen diskutiert. Insbesondere die Modifikation dieser Tendenz zu einem positiveren Interpretationsstil (Cognitive bias modification targeting interpretation; CBM-I) erweckte in den vergangenen Jahren großes Forschungsinteresse, da diese innovativen, computergestützten Techniken wirkungsvolle Behandlungsansätze für die Therapie von Depressionen bedeuten könnten. Nach aktuellem Forschungsstand besteht jedoch 1.) ein Mangel an hinreichend evaluierten Instrumenten für die Erhebung von depressionsbedingten Interpretationsverzerrungen und insbesondere deren Veränderbarkeit, 2.) eine inkonsistente Befundlage für die Existenz von depressionsbedingten Interpretationsverzerrungen in Abhängigkeit von der (direkten oder indirekten) Erhebungsmethode, 3.) ein Bedarf an genaueren Erkenntnissen über die zugrunde liegenden Wirkmechanismen und effektivsten Komponenten von CBM-I und 4.) ein Fehlen von CBM-I Materialien und Erhebungsmethoden in deutscher Sprache. Vor diesem Hintergrund wurden die Ziele dieser Dissertation formuliert, die neben einer kurzen Einführung in das Themengebiet und einer abschließenden Diskussion aus drei Studien besteht. Das Ziel der ersten Studie war die Entwicklung und Validierung eines pragmatischen Erhebungsinstrumentes zur Messung von depressionsbedingten Interpretationsverzerrungen, bestehend aus einem Fragebogen (Langfassung, 30 Items) und zwei Kurz- bzw. Parallelversionen (A und B, jeweils 15 Items). In den Items werden emotional mehrdeutig interpretierbare Szenarien beschrieben, deren Inhalte Beck‘s kognitive Triade (Beck et al., 1979) widerspiegeln. Den Ergebnissen zufolge können alle drei Versionen des Instruments als strukturell stabil, internal konsistent und valide bewertet werden. In Übereinstimmung mit der Theorie der kognitiven Triade (Beck et al., 1979) wurde mittels konfirmatorischer Faktorenanalyse eine Dreifaktorenlösung (Selbst, Erfahrungen, Zukunft) festgestellt. Signifikante Korrelationen wurden zwischen allen Skalenwerten und depressiver Symptomatik gefunden. Die beiden Parallelversionen weisen ähnliche psychometrische Eigenschaften sowie eine hohe Paralleltest-Konsistenz auf. Das Ziel der zweiten Studie war die Validierung eines indirekten, affektiven Priming- Verfahrens, in dem homophone Wörter als emotional zweideutige Stimuli eingesetzt wurden. Dieser Test wurde zusätzlich mit drei bereits etablierten Erhebungsparadigmen (Ambiguous Scenarios Test; Scrambled Sentences Test, Homophone-Test) verglichen. Hinsichtlich der Ergebnisse konnte keine empirische Unterstützung für den affektiven Priming-Test sowie für den Homophone-Test gefunden werden; beide Tests zeigten keinen Zusammenhang mit depressiven Symptomen. Der Ambiguous Scenarios Test und der Scrambled Sentences Test erwiesen sich als internal konsistent und valide und wiesen außerdem eine hohe Interkorrelation auf. Die Ergebnisse geben Aufschluss über die Vergleichbarkeit der unterschiedlichen Erhebungsparadigmen. Das Ziel der dritten Studie war die Entwicklung und Evaluation einer neuen, aktiveren CBM-I Variante, in der die Teilnehmer mittels eines computergestützten Trainings aufgefordert wurden, positive Interpretationen auf emotional mehrdeutige Szenarien eigenständig zu generieren. Die Ergebnisse der neuen CBM-I-Variante wurden mit den Ergebnissen einer herkömmlichen CBM-I-Variante (Standard-CBM-I) sowie den Ergebnissen einer Kontrollgruppe verglichen. Es zeigte sich, dass sowohl die neue CBM-I-Variante als auch Standard-CBM-I die Interpretationstendenz signifikant in eine positive Richtung verbesserten. Darüber hinaus konnte durch Standard-CBM-I eine stimmungsaufhellende Wirkung erzielt werden
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Books on the topic "Assessment bias"

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Liell, Glenda C., Lawrence F. Jones, and Martin J. Fisher. Challenging Bias in Forensic Psychological Assessment and Testing. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003230977.

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V, Hamayan Else, and Damico Jack Samual, eds. Limiting bias in the assessment of bilingual students. Austin, Tex: Pro-Ed, 1991.

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J, Sutton A., and Borenstein Michael, eds. Publication bias in meta-analysis: Prevention, assessment and adjustments. Hoboken, N.J: Wiley, 2005.

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Lyn, Bourque Mary, Brennan Robert L, Carr Peggy, Haertel Edward H, Jaeger R. M, Linn Robert L, Messick Samuel, et al., eds. Technical issues in large-scale performance assessment. Washington DC: National Centre for Education Statistics, 1996.

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Raymond, Mark R. Detecting and correcting for rater effects in performance assessment. Iowa City, Iowa: American College Testing Program, 1990.

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1952-, Murphy Patricia, ed. A fair test?: Assessment, achievement, and equity. Buckingham [England]: Open University Press, 1994.

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Hedges, Larry V. A study of equating NAEP. [Palo Alto, CA: American Institutes for Research in the Behavioral Sciences, 1997.

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Guillermo, Solano Flores, ed. Cultural validity in assessment: Addressing linguistic and cultural diversity. New York, NY: Routledge, 2011.

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Smiley, Mary Patricia. Does gender bias in primary school textbooks affect girls' educational achievement in the Gambia: An assessment of the contributing factors. London: LCP, 2004.

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Hartstone, Eliot C. An assessment of gender bias in Connecticut's juvenile justice system: Submitted to the State of Connecticut Office of Policy and Management, Policy Development and Planning Division. Hartford, CT: Spectrum Associates, 1995.

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Book chapters on the topic "Assessment bias"

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Mellenbergh, G. J. "Explaining Item Bias." In Human Assessment: Cognition and Motivation, 396. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4406-0_61.

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Schulzke, Sven. "Assessment of Publication Bias." In Principles and Practice of Systematic Reviews and Meta-Analysis, 57–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71921-0_5.

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Poortinga, Y. H. "Conceptual Implications of Bias." In Human Assessment: Cognition and Motivation, 395. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4406-0_60.

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Kamphaus, Randy W. "Culture and Bias." In Clinical Assessment of Child and Adolescent Intelligence, 145–66. New York, NY: Springer US, 2005. http://dx.doi.org/10.1007/978-0-387-29149-9_6.

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Cox, David R. "Computerized Assessment of Response Bias." In Encyclopedia of Clinical Neuropsychology, 898–901. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_2228.

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Cox, David R. "Computerized Assessment of Response Bias." In Encyclopedia of Clinical Neuropsychology, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_2228-3.

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Cox, David R. "Computerized Assessment of Response Bias." In Encyclopedia of Clinical Neuropsychology, 662–64. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_2228.

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Simon, Ted W. "Bias, Conflict of Interest, Ignorance, and Uncertainty." In Environmental Risk Assessment, 431–74. Second edition. | Boca Raton : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9780429286001-8.

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Scheuneman, Janice Dowd. "Item Bias and Individual Differences." In Advances in Computer-Based Human Assessment, 259–78. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3322-7_11.

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Poortinga, Ype H. "Conceptual Implications of Item Bias." In Advances in Computer-Based Human Assessment, 279–90. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3322-7_12.

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Conference papers on the topic "Assessment bias"

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Reyes, Rolando P., Oscar Dieste, Efraín R. Fonseca C., and Natalia Juristo. "Publication Bias." In EASE '20: Evaluation and Assessment in Software Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383219.3383233.

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Massanes, Francesc, Alexandre Ba, François Bochud, and Jovan G. Brankov. "A resampling comparison of CHO's detectability index bias and uncertainty." In Image Perception, Observer Performance, and Technology Assessment, edited by Robert M. Nishikawa and Frank W. Samuelson. SPIE, 2018. http://dx.doi.org/10.1117/12.2297689.

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Gabanakgosi, Kabo, Oakantse Mogorosi, Kenanao Rametlae, Boitshwarelo Boitshepo, and Otsile Barei. "Structural data bias assessment at Jwaneng Mine." In SSIM 2021: Second International Slope Stability in Mining Conference. Australian Centre for Geomechanics, Perth, 2021. http://dx.doi.org/10.36487/acg_repo/2135_08.

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Babnik, Ziga, and Vitomir Struc. "Assessing Bias in Face Image Quality Assessment." In 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022. http://dx.doi.org/10.23919/eusipco55093.2022.9909867.

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Chakraborty, Subrata, Xujuan Zhou, Abdul Hafeez-Baig, Raj Gururajan, Manoranjan Paul, Anuradha Mandal, Anila Elizabeth Chacko, and Prabal D. Barua. "Objective analysis of marker bias in higher education." In 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). IEEE, 2016. http://dx.doi.org/10.1109/tale.2016.7851839.

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Lortal, Gaelle, Philippe Capet, and Alain Bertone. "Ontology building for cognitive bias assessment in intelligence." In 2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA). IEEE, 2014. http://dx.doi.org/10.1109/cogsima.2014.6816616.

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Marshall, Iain J., Joël Kuiper, and Byron C. Wallace. "Automating risk of bias assessment for clinical trials." In BCB '14: ACM-BCB '14. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2649387.2649406.

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Tecimer, K. Ayberk, Eray Tüzün, Hamdi Dibeklioglu, and Hakan Erdogmus. "Detection and Elimination of Systematic Labeling Bias in Code Reviewer Recommendation Systems." In EASE 2021: Evaluation and Assessment in Software Engineering. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3463274.3463336.

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Arola, Antti, Stelios Kazadzis, Nickolay A. Krotkov, Alkis Bais, Jay R. Herman, and Kaisa Lakkala. "Assessment of TOMS UV bias due to absorbing aerosols." In Optical Science and Technology, the SPIE 49th Annual Meeting, edited by James R. Slusser, Jay R. Herman, Wei Gao, and Germar Bernhard. SPIE, 2004. http://dx.doi.org/10.1117/12.558691.

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Lopez Saenz, Jose Antonio, and Thomas Hain. "A Model for Assessor Bias in Automatic Pronunciation Assessment." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9746720.

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Reports on the topic "Assessment bias"

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Palmiter, Larry, and Ian Brown. Northwest Residential Infiltration Study : Volume 2: Sample Selection and Bias Assessment. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/7259966.

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Soliday, Sharon. Cultural Bias in the Assessment of Phonological Processes in Conjunction with the APP-R. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6554.

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Bonthron, Leslie, Corey Beck, Alana Lund, Farida Mahmud, Xin Zhang, Rebeca Orellana Montano, Shirley J. Dyke, Julio Ramirez, Yenan Cao, and George Mavroeidis. Empowering the Indiana Bridge Inventory Database Toward Rapid Seismic Vulnerability Assessment. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317282.

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With the recent identification of the Wabash Valley Seismic Zone in addition to the New Madrid Seismic Zone, Indiana’s Department of Transportation (INDOT) has become concerned with ensuring the adequate seismic performance of their bridge network. While INDOT made an effort to reduce the seismic vulnerability of newly-constructed bridges, many less recent bridges still have the potential for vulnerability. Analyzing these bridges’ seismic vulnerability is a vital task. However, developing a detailed dynamic model for every bridge in the state using information from structural drawings is rather tedious and time-consuming. In this study, we develop a simplified dynamic assessment procedure using readily-available information from INDOT’s Bridge Asset Management Program (BIAS), to rapidly identify vulnerable bridges throughout the state. Eight additional data items are recommended to be added into BIAS to support the procedure. The procedure is applied in the Excel file to create a tool, which is able to automatically implement the simplified bridge seismic analysis procedure. The simplified dynamic assessment procedure and the Excel tool enable INDOT to perform seismic vulnerability assessment and identify bridges more frequently. INDOT can prioritize these bridges for seismic retrofits and efficiently ensure the adequate seismic performance of their assets.
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Prasad, Sridevi, Jane Hammaker, Katherine Quant, and Douglas Glandon. Use of performance-based contracts for road maintenance projects: a rapid evidence assessment. International Initiative for Impact Evaluation (3ie), 2022. http://dx.doi.org/10.23846/w0054.

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The authors of this paper, Use of performance-based contracts for road maintenance projects: a rapid evidence assessment, synthesize evidence from evaluations on the impact of performance-based contracts for road maintenance projects on cost savings, road quality, collaboration and direct user benefits. They also provide insights into the implementation, sustainability, and evaluation of these interventions, as well as a risk of bias assessment for each study. This work can help policymakers and practitioners determine the expected outcomes of their interventions and identify key barriers and facilitators of impact.
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Fix, J. J., E. S. Gilbert, and W. V. Baumgartner. An assessment of bias and uncertainty in recorded dose from external sources of radiation for workers at the Hanford Site. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/10177505.

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Parsons, Helen M., Hamdi I. Abdi, Victoria A. Nelson, Amy M. Claussen, Brittin L. Wagner, Karim T. Sadak, Peter B. Scal, Timothy J. Wilt, and Mary Butler. Transitions of Care From Pediatric to Adult Services for Children With Special Healthcare Needs. Agency for Healthcare Research and Quality (AHRQ), May 2022. http://dx.doi.org/10.23970/ahrqepccer255.

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Objective. To understand the evidence base for care interventions, implementation strategies, and between-provider communication tools among children with special healthcare needs (CSHCN) transitioning from pediatric to adult medical care services. Data sources. We searched Ovid MEDLINE, Ovid Embase, the Cochrane Central trials (CENTRAL) registry, and CINAHL to identify studies through September 10, 2021. We conducted grey literature searches to identify additional resources relevant to contextual questions. Review methods. Using a mixed-studies review approach, we searched for interventions or implementation strategies for transitioning CSHCN from pediatric to adult services. Two investigators screened abstracts and full-text articles of identified references for eligibility. Eligible studies included randomized controlled trials, quasi-experimental observational studies, and mixed-method studies of CSHCN, their families, caregivers, or healthcare providers. We extracted basic study information from all eligible studies and grouped interventions into categories based on disease conditions. We summarized basic study characteristics for included studies and outcomes for studies assessed as low to medium risk of bias using RoB-2. Results. We identified 9,549 unique references, 440 of which represented empirical research; of these, 154 (16 major disease categories) described or examined a care transition intervention with enough detail to potentially be eligible for inclusion in any of the Key Questions. Of these, 96 studies met comparator criteria to undergo risk of bias assessment; however only 9 studies were assessed as low or medium risk of bias and included in our analytic set. Low-strength evidence shows transition clinics may not improve hemoglobin A1C levels either at 12 or 24 months in youth with type 1 diabetes mellitus compared with youth who received usual care. For all other interventions and outcomes, the evidence was insufficient to draw meaningful conclusions because the uncertainty of evidence was too high. Some approaches to addressing barriers include dedicating time and resources to support transition planning, developing a workforce trained to care for the needs of this population, and creating structured processes and tools to facilitate the transition process. No globally accepted definition for effective transition of care from pediatric to adult services for CSHCN exists; definitions are often drawn from principles for transitions, encompassing a broad set of clinical aspects and other factors that influence care outcomes or promote continuity of care. There is also no single measure or set of measures consistently used to evaluate effectiveness of transitions of care. The literature identifies a limited number of available training and other implementation strategies focused on specific clinical specialties in targeted settings. No eligible studies measured the effectiveness of providing linguistically and culturally competent healthcare for CSHCN. Identified transition care training, and care interventions to
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Griffin, Andrew, Sean Griffin, Kristofer Lasko, Megan Maloney, S. Blundell, Michael Collins, and Nicole Wayant. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40182.

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Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting building footprints and roads from high resolution satellite imagery as compared to manual digitization of the same areas. To avoid environmental bias, this assessment was done in two different regions of the world: Maracay, Venezuela and Niamey, Niger. High, medium, and low urban density sites are compared between regions. We quantify the accuracy of the data and time needed to correct the three AFE datasets against hand digitized reference data across ninety tiles in each city, selected by stratified random sampling. Within each tile, the reference data was compared against the three AFE datasets, both before and after analyst editing, using the accuracy assessment metrics of Intersection over Union and F1 Score for buildings and roads, as well as Average Path Length Similarity (APLS) to measure road network connectivity. It was found that of the three AFE tested, the Ecopia data most frequently outperformed the other AFE in accuracy and reduced the time needed for editing.
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O’Neil, Maya E., Tamara P. Cheney, Yun Yu, Erica L. Hart, Rebecca S. Holmes, Ian Blazina, Stephanie P. Veazie, et al. Pharmacologic and Nonpharmacologic Treatments for Posttraumatic Stress Disorder: 2022 Update of the PTSD Repository Evidence Base. Agency for Healthcare Research and Quality (AHRQ), October 2022. http://dx.doi.org/10.23970/ahrqepcptsd2022.

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Objectives. Identify and abstract data from randomized controlled trials (RCTs) examining treatment for posttraumatic stress disorder (PTSD) and comorbid PTSD/substance use disorder to update the previous Agency for Healthcare Research and Quality (AHRQ) report and National Center for PTSD (NCPTSD) PTSD Trials Standardized Data Repository (PTSD-Repository). Data sources. We searched PTSDpubs, Ovid® MEDLINE®, Cochrane CENTRAL, PsycINFO®, Embase®, CINAHL®, and Scopus® for eligible RCTs published from June 1, 2018, to January 26, 2022. Review methods. In consultation with AHRQ and NCPTSD, we updated the evidence tables for the PTSD-Repository by including evidence published after publication of the last update and expanding abstraction of results to include calculated standardized effect sizes. The primary publication for each RCT was abstracted; data and citations from secondary publications (i.e., companion papers) appear in the same record. We assessed risk of bias (RoB) for all newly included studies using the Revised Cochrane Risk of Bias 2 (RoB 2) tool for randomized trials. For studies already in the PTSD-Repository, we will add calculated standardized effect sizes and update RoB using the new RoB 2 tool over the next several annual updates. Results. We added 48 new RCTs examining treatments for PTSD, for a total of 437 included studies published from 1988 to July 30, 2021. Among the 48 newly added RCTs, psychotherapy interventions were the most commonly employed (50%), followed by complementary and integrative health (17%). Approximately half of studies were conducted in the United States (46%), and enrolled community participants (52%) and participants with a mix of trauma types (48%). Studies typically had sample sizes ranging from 25 to 99 participants (69%). RoB was rated as high for 52 percent of studies, 31 percent were rated as low RoB, and the remaining studies were rated as having some concerns (15%). Conclusions. This report updates the previous AHRQ report to include 48 recently published RCTs, for a total of 437 studies. This update adds comprehensive data, standardized effect sizes for PTSD outcomes, and RoB assessment for the newly included RCTs. As with the previous AHRQ update, this report will inform updates to the PTSD-Repository, a comprehensive database of PTSD trials.
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Cantor, Amy, Heidi D. Nelson, Miranda Pappas, Chandler Atchison, Brigit Hatch, Nathalie Huguet, Brittny Flynn, and Marian McDonagh. Effectiveness of Telehealth for Women’s Preventive Services. Agency for Healthcare Research and Quality (AHRQ), June 2022. http://dx.doi.org/10.23970/ahrqepccer256.

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Objectives. To evaluate the effectiveness, use, and implementation of telehealth for women’s preventive services for reproductive healthcare and interpersonal violence (IPV), and to evaluate patient preferences and engagement for telehealth, particularly in the context of the coronavirus (COVID-19) pandemic. Data sources. Ovid MEDLINE®, CINAHL®, Embase®, and Cochrane CENTRAL databases (July 1, 2016, to March 4, 2022); manual review of reference lists; suggestions from stakeholders; and responses to a Federal Register Notice. Review methods. Eligible abstracts and full-text articles of telehealth interventions were independently dual reviewed for inclusion using predefined criteria. Dual review was used for data abstraction, study-level risk of bias assessment, and strength of evidence (SOE) rating using established methods. Meta-analysis was not conducted due to heterogeneity of studies and limited available data. Results. Searches identified 5,704 unique records. Eight randomized controlled trials, one nonrandomized trial, and seven observational studies, involving 10,731 participants, met inclusion criteria. Of these, nine evaluated IPV services and seven evaluated contraceptive care, the only reproductive health service studied. Risk of bias was low in one study, moderate in nine trials and five observational studies, and high in one study. Telehealth interventions were intended to replace usual care in 14 studies and supplement care in 2 studies. Delivery modes included telephone (5 studies), online modules (5 studies), and mobile applications (1 study), and was unclear or undefined in five studies. There were no differences between telehealth interventions to supplement contraceptive care and comparators for rates of contraceptive use, sexually transmitted infection, and pregnancy (low SOE); evidence was insufficient for abortion rates. There were no differences between telehealth IPV services versus comparators for outcomes measuring repeat IPV, depression, post-traumatic stress disorder, fear of partner, coercive control, self-efficacy, and safety behaviors (low SOE). The COVID-19 pandemic increased telehealth utilization. Barriers to telehealth interventions included limited internet access and digital literacy among English-speaking IPV survivors, and technical challenges and confidentiality concerns for contraceptive care. Telehealth use was facilitated by strategies to ensure safety of individuals who receive IPV services. Evidence was insufficient to evaluate access, health equity, or harms outcomes. Conclusions. Limited evidence suggests that telehealth interventions for contraceptive care and IPV services result in equivalent clinical and patient-reported outcomes as in-person care. Uncertainty remains regarding the most effective approaches for delivering these services, and how to best mobilize telehealth, particularly for women facing barriers to healthcare.
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Forde, Jessica. Effects of Social Desirability Bias on Self-Report and Non Self-Report Assessments During Smoking Cessation. Fort Belvoir, VA: Defense Technical Information Center, August 2010. http://dx.doi.org/10.21236/ad1013410.

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